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AI Engineer with less than a year in Machine Learning & Deep Learning
Computer Science Engineering graduate with strong foundations in Artificial Intelligence, Machine Learning, Deep Learning, and Software Development. Experienced in building AI-driven applications, REST APIs, and data-driven systems using Python, Java, and modern ML frameworks. Skilled in computer vision, federated learning, backend development, and scalable system design. Familiar with model training, data preprocessing, API integration, and cloud deployment concepts. Passionate about developing secure, scalable, and intelligent solutions for real-world applications.
Rajalakshmi Institute of Technology
B.E · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Brindavan Matric Hr. Sec School
High School Completion
N/A – Present
Centre of Excellence for Advanced Data Analytics
Intership
November 1, 2024 – July 1, 2025
India
AI-Powered Smart Traffic Management System
June 24, 2026 – Present
Developed real-time vehicle detection using YOLOv8 and OpenCV. Implemented adaptive signal control based on traffic density. Built backend dashboard using Django for monitoring traffic data. Achieved ~69% accuracy in multi-class vehicle detection.
AI Workspace – Enterprise Multi-Agent Knowledge Assistant
June 24, 2026 – Present
Architected an enterprise-grade AI platform using FastAPI, React, and LangGraph. Engineered a robust RAG engine utilizing ChromaDB for semantic search and vector embedding. Developed specialized, autonomous agents for data analysis, planning, and reporting. Built scalable backend for document ingestion and contextual retrieval using Python. Containerized the full-stack architecture using Docker for cloud-native deployment.
IBM RAG and Agentic AI Professional Certificate
IBM
June 1, 2026 – Present
Google AI Professional Certificate
June 1, 2026 – Present
Machine learning
Microsoft
June 1, 2026 – Present
JAVA, Oracle SQL, Neural networks and Deep Learning
GREAT LEARNING
June 1, 2026 – Present
machine learning, deep learning
KAGGLE
June 1, 2026 – Present
BASICS OF COMPUTER NETWORKING
NETWORKGEEK
June 1, 2026 – Present
UIPATH Academy Automation Explorer Training
UIPATH ACADEMY
June 1, 2026 – Present
mongodb for students
MONGODB
June 1, 2026 – Present
Data skills 3 day challenge
CRION VERSITY
June 1, 2026 – Present
Best Paper Award – AI-Powered Smart Traffic Management System for Real-Time Optimization of Light Timings on Congested Routes
International Conference on Intelligent Computing, Data Analytics and Quantum Technologies (ICICDAQ 2026)
January 1, 2026 – Present
ICT ACADEMY LEARNATHON 2023
ICT Academy
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects, particularly the 'AI Workspace – Enterprise Multi-Agent Knowledge Assistant', show an interest in developing scalable and intelligent solutions, aligning well with an AI Engineer role. The breadth of certifications across various AI/ML topics and programming languages indicates a strong drive for continuous learning and adaptability. The 'Best Paper Award' suggests a commitment to innovation and contributing to the field. However, the lack of diverse professional experience beyond an upcoming internship means the cultural fit in a corporate setting, especially regarding teamwork and navigating organizational dynamics, is largely unproven.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex, multi-faceted problems. The academic background and numerous certifications indicate a proactive learning attitude. However, with limited professional experience, the operational fit in a fast-paced, senior-level environment is yet to be fully demonstrated. Collaboration and communication skills, crucial for senior roles, are not explicitly detailed in the provided data.